基于粗糙集信息熵投资优序评价模型实证研究

被引:4
作者
仰炬
张朋柱
机构
[1] 西安交通大学
[2] 中国系统工程学会
关键词
粗糙集; 信息熵; 熵权; 投资风险; 优序评价;
D O I
10.19616/j.cnki.bmj.2004.14.003
中图分类号
F224 [经济数学方法]; F830.59 [投资];
学科分类号
0701 ; 070104 ; 120204 ;
摘要
本文根据投资中风险评价的实际操作,引入粗糙集信息熵理论,导出基于熵权的投资优序模型,通过实际投资项目进行优序评价实证研究,说明本方法具有实用性和较强的操作性。本文以期克服目前相关领域研究文献基本停留在方法研究阶段、所给的证例过于简单、没有实际运用价值等缺陷,也尝试探索粗糙集理论在投资管理中的应用。
引用
收藏
页码:18 / 22
页数:5
相关论文
共 8 条
[1]   Fault Diagnosis of a Rotary Machine Based on Information Entropy and Rough Set [J].
LI JianlanHUANG Shuhong College of Energy and Power EngineeringHuazhong University of Science and TechnologyWuhan PRChina .
InternationalJournalofPlantEngineeringandManagement, 2007, (04) :199-206
[2]   投资项目方案最优决策的广义熵法 [J].
陈业华 ;
邱菀华 .
科研管理, 1998, (04) :3-5
[3]   Rough set theory and its applications to data analysis [J].
Pawlak, Z .
CYBERNETICS AND SYSTEMS, 1998, 29 (07) :661-688
[4]  
A rough set approach to attribute generalization in data mining[J] . Chien-Chung Chan.Information Sciences . 1998 (1)
[5]   Rough set approach to knowledge-based decision support [J].
Pawlak, Z .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1997, 99 (01) :48-57
[6]   Artificial intelligence and human decision making [J].
Pomerol, JC .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1997, 99 (01) :3-25
[7]   Knowledge discovery by inspection [J].
McSherry, D .
DECISION SUPPORT SYSTEMS, 1997, 21 (01) :43-47
[8]   Global discretization of continuous attributes as preprocessing for machine learning [J].
Chmielewski, MR ;
GrzymalaBusse, JW .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1996, 15 (04) :319-331